Overview

Deep Learning on AWS is a one-day course that introduces you to cloud-based Deep Learning solutions on Amazon Web Services (AWS). The training will detail how deep learning is useful and explain its different concepts. This course also teaches you how to run your models on the cloud using Amazon Elastic Compute Cloud (Amazon EC2)-based Deep Learning Amazon Machine Image (AMI) and MXNet framework. In addition, you will gain a better understanding of deploying your deep learning models using AWS services like AWS Lambda and Amazon EC2 Container Service (Amazon ECS) while designing intelligent systems on AWS, based on Deep Learning.

Target Audience

  • Developers responsible for developing Deep Learning applications
  • Developers who want to understand concepts behind Deep Learning and how to implement a Deep Learning solution on AWS
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Prerequisites

We recommend that attendees of this course have the following prerequisites:

  • Basic understanding of machine learning processes
  • Basic understanding of AWS core services like Amazon EC2 and knowledge of AWS SDK
  • Basic knowledge of a scripting language e.g. Python
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Learning Outcomes

This course teaches you how to:

  • Define machine learning and deep learning.
  • Identify the concepts in a deep learning ecosystem.
  • Leverage Amazon SageMaker and MXNet programming framework for deep learning workloads
  • Fit AWS solutions for deep learning deployments.
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Course Outline

This course covers the following concepts:

  • Introduction to Machine Learning
  • Introduction to Deep Learning
    • Lab 1: Setting up a Deep Learning AMI instance and running a multi-layer perceptron model
  • Introduction to MXNet on AWS
    • Lab 2: Running a convolutional neural network model and predicting images on CIFAR-10 dataset
  • Deploying Deep Learning Workloads on AWS
    • Lab 3: Deploying a Deep Learning model for predicting images using AWS Lambda
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Why choose QA

Special Notices

Please note: Effective 15th August 2022 the labs for all AWS courses will be delivered through AWS Builder labs. In order to access these labs you will need to have an Amazon account (used for Amazon.com/.co.uk retail). You can choose to use your existing Amazon account or you can elect to set up a new account utilising a new email address (such as Hotmail, Gmail, Yahoo etc etc). You can set up your new Amazon account here.

Please ensure that you have set up this Amazon account set up in advance of attending your class. Your Amazon account credentials will be used to access the AWS Builder lab environment that you will utilise during your course.

In order to access your digital course materials you are required to set up a Gilmore account in advance of attending your course. To do this please follow this link.

AWS learning paths

Want to boost your career in AWS? Click on the roles below to see QA‘s learning pathways, specially designed to give you the skills to succeed.

Required Star = Required
Certification = Certification
Data Scientist
Data Engineer
Developer Software Development
Architect Enterprise Architecture Experience
Administrator DevOps
Administrator Security

Frequently asked questions

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How can I create an account on myQA.com?

There are a number of ways to create an account. If you are a self-funder, simply select the "Create account" option on the login page.

If you have been booked onto a course by your company, you will receive a confirmation email. From this email, select "Sign into myQA" and you will be taken to the "Create account" page. Complete all of the details and select "Create account".

If you have the booking number you can also go here and select the "I have a booking number" option. Enter the booking reference and your surname. If the details match, you will be taken to the "Create account" page from where you can enter your details and confirm your account.

Find more answers to frequently asked questions in our FAQs: Bookings & Cancellations page.

How do QA’s virtual classroom courses work?

Our virtual classroom courses allow you to access award-winning classroom training, without leaving your home or office. Our learning professionals are specially trained on how to interact with remote attendees and our remote labs ensure all participants can take part in hands-on exercises wherever they are.

We use the WebEx video conferencing platform by Cisco. Before you book, check that you meet the WebEx system requirements and run a test meeting (more details in the link below) to ensure the software is compatible with your firewall settings. If it doesn’t work, try adjusting your settings or contact your IT department about permitting the website.

Learn more about our Virtual Classrooms.

How do QA’s online courses work?

QA online courses, also commonly known as distance learning courses or elearning courses, take the form of interactive software designed for individual learning, but you will also have access to full support from our subject-matter experts for the duration of your course. When you book a QA online learning course you will receive immediate access to it through our e-learning platform and you can start to learn straight away, from any compatible device. Access to the online learning platform is valid for one year from the booking date.

All courses are built around case studies and presented in an engaging format, which includes storytelling elements, video, audio and humour. Every case study is supported by sample documents and a collection of Knowledge Nuggets that provide more in-depth detail on the wider processes.

Learn more about QA’s online courses.

When will I receive my joining instructions?

Joining instructions for QA courses are sent two weeks prior to the course start date, or immediately if the booking is confirmed within this timeframe. For course bookings made via QA but delivered by a third-party supplier, joining instructions are sent to attendees prior to the training course, but timescales vary depending on each supplier’s terms. Read more FAQs.

When will I receive my certificate?

Certificates of Achievement are issued at the end the course, either as a hard copy or via email. Read more here.

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